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Developer and Performance Technology Intern

NVIDIA· Intern
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Santa Clara, CA$20/hr - $71/hrInternshipPosted 2mo ago

About the role

NVIDIA Spring 2027 internships in Developer and Performance Technology. 8–12 months, full-time internships focusing on performance engineering, platform performance and power, and deep learning/HPC. Open to students pursuing a BS/MS in Electrical Engineering, Computer Engineering, Computer Science, or related fields. Start dates February or May 2027.

Responsibilities

  • Running performance, image quality, and power tests for Professional Visualization, AI, and LLM benchmark applications on various GPUs; Configuring computer systems with appropriate hardware and software to run benchmarks
  • Building automation scripts to benchmarking procedure and balancing configuration files; assembling computer hardware, developing and running automation scripts on applications, and designing tools
  • Course or internship experience related to Linux and Shell Scripting, GPU Accelerated Deep Learning Frameworks (TRT, Torch, DML), Python, Containers (Docker or Singularity), Embedded Platforms, 3D Graphics, GPU Programming (CUDA, OpenCL), Benchmarking, Image Quality and Power Testing, Scripting, Debugging, Low Level System Configuration (BIOS Configurations, Memory Timing, Controlling Cache Latency, Overclocking)
  • Completing post-silicon performance and power benchmarking on NVIDIA and competitive GPU products; Compiling and analyzing data for internal software, hardware, sales, and marketing groups to inform decisions
  • Developing, implementing, and maintaining test systems by configuring hardware, operating systems, drivers, and software tools used for benchmarking and data collection; Implementing hands-on tests focused on performance and power for GPU platforms; Maintaining automation tools to improve testing efficiency
  • Course or internship experience related to Linux, Python Scripting, Debugging, Electrical Fundamentals (Power Measurement; Multimeters or Data Acquisition Tools), MMs, Agilent DAQs, National Instruments DAQs, GPU Programming (CUDA, OpenCL), Embedded Platforms, Benchmarking, Power Testing
  • Planning and executing GPU performance benchmarking across HPC and DL Frameworks and Applications; Aggregating, analyzing, and generating reports with testing data; Writing scripts to improve data gathering through automation; Assisting with development of tools and processes to improve automated testing

Qualifications

  • Must be actively enrolled in a university pursuing a BS or MS degree in Electrical Engineering, Computer Engineering, Computer Science, or related field
  • Anticipated graduation date clearly indicated on resume or CV
  • Preferred start dates: February 2027 or May 2027

Skills

Required:GPU Accelerated Deep Learning FrameworksGPU ProgrammingLinuxPythonShell Scripting
Nice to have:Benchmarking

Benefits

  • Intern benefits
  • Hourly rate between 20 USD and 71 USD (varies by position, location, year in school, degree, and experience)
Last updated Oct 16, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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